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- Weisi LinSuggested from co-authorship
- Chia‐Wen LinSuggested from co-authorship
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Works376 from public data
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- Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images355
An end-to-end Dense Attention Fluid Network (DAFNet) for SOD in optical RSIs that significantly outperforms the existing state-of-the-art SOD competitors is proposed and a new and challenging optical RSI dataset is constructed that contains 2,000 images with pixel-wise saliency annotations.
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- Single Image Deraining: From Model-Based to Data-Driven and Beyond289
This paper presents milestones of single-image deraining methods, reviews a broad selection of previous works in different categories, and provides insights on the historical development route from the model-based to data-driven methods.
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- Weakly Supervised Video Anomaly Detection via Center-Guided Discriminative Learning197
An anomaly detection framework, called Anomaly Regression Net (ARNet), which only requires video-level labels in training stage is proposed, which yields a new state-of-the-art result for video anomaly detection on ShanghaiTech dataset.
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- No-Reference and Robust Image Sharpness Evaluation Based on Multiscale Spatial and Spectral Features146
- A visually secure image encryption scheme based on semi-tensor product compressed sensing123
The simulations show that the proposed visual security strategy based on STP-CS can not only greatly reduce the storage space occupied by the measurement matrix but also maintain high reconstruction quality compared with the traditional CS model while ensuring visual security quality.
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- Abnormal event detection in crowded scenes based on deep learning108
Experimental results show that the proposed abnormal event detection method can obtain much better performance than the existing ones on the public video database.
- High-order local ternary patterns with locality preserving projection for smoke detection and image classification101
This work proposes a novel feature extraction method by encoding high order directional derivatives at each pixel by quantizing the directional derivatives into ternary values to generate Local Ternary Patterns (LTP).
- Orientation selectivity based visual pattern for reduced-reference image quality assessment98
Experimental results on five public databases demonstrate that the proposed RR IQA method has performance consistent with the human perception under a small amount of reference data (only 9 values).
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-12. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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